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Research Article
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Poor Physical Activity in the Elderly as Assessed by a Visual Analogue
Scale is Associated with Dyslipidemia |
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M. Gharouni,
P. Ebrahimi,
M.J. Mahmoodi,
M. Hasibi,
A. Rashidi
and
P. Khashayar
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ABSTRACT
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The aim of the present study was to evaluate the association
between a subjective measure of physical activity assessed by a Visual
Analogue Scale (VAS) and dyslipidemia in an elderly population of Iran.
A total of 74 elderly subjects (39 males) aged 65 years and older who
referred to the Cardiovascular Department of the Hospital were studied.
Physical activity was assessed on a 100 mm VAS according to which patients
were then divided in to two groups active (activity score≥50; n = 31)
and inactive (activity score<50; n = 43). Body Mass Index (BMI), systolic
and diastolic blood pressure, triglycerides, total cholesterol, Low-Density
Lipoproteins (LDL) and High-Density Lipoproteins (HDL) were measured by
standard methods. TG (p = 0.021) and LDL (p = 0.006) were significantly
higher and HDL was significantly lower (p = 0.028) in the inactive group.
No significant associations were found for other variables. As the first
report from Iran, present results are important given the race differences
that exist in response of plasma lipids to exercise training. Limitations
of the present study include its cross-sectional, rather than prospective,
structure and the relatively small sample size. It remains to be seen
whether VAS can be used as a rapid screening tool for the presence of
dyslipidemia in the elderly.
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INTRODUCTION
The world`s population is aging. Newly developed countries in Asia are
aging faster than other countries in the world. The rate of increase of
the elderly population age 65 and older in these countries is reported
at approximately 3% annually, compared with 1.0 to 1.3% in the United
Kingdom (UK), Sweden and the United States (Ng et al., 2006). The
Iran`s Ministry of Health reported in 2005 that persons 65 and older accounts
for 6% of the population of Iran and that this rate will rise to 19% by
2030 (Amir-Sadri and Soleimani, 2005).
Cardiovascular disease is the leading cause of mortality in people aged
65 and older, accounting for half of all deaths (Mathers and Loncar, 2006).
Recent emphasis has therefore been placed on the importance of risk factors
in predicting morbidity and mortality from cardiovascular disease (CVD).
In addition, there is a need to understand how CVD risk factors are influenced
by physical characteristics that may be modified by lifestyle measures
(Spalding and Sebesta, 2008). The increasing prevalence of CVD in the
elderly in developing countries is at least partly attributable to a largely
inactive population.
Dyslipidemia is one of the major risk factors for CVD (Wilson et al.,
1998). It is not clear how physical activity in the elderly affects the
lipid profile and whether or not poor physical activity and dyslipidemia
cluster together. Total cholesterol levels do not seem to increase with
physical inactivity in the elderly (Polychronopoulos et al., 2005).
However, potential associations between the level of physical activity
and triglycerides, low-density lipoproteins and high-density lipoproteins
have remained to be clarified in the elderly. The purpose of the present
study was to evaluate the relationship between subjectively judged poor
physical activity and dyslipidemia in an elderly population of Tehran,
Iran.
MATERIALS AND METHODS
This cross-sectional study was conducted on all patients aged 65 years
and older who referred to the cardiovascular department of Amir-Alam and
Taleghani Hospitals in 2007. Patients with congenital or valvular heart
disease were not included. The ethics committee of Tehran University of
Medical Sciences approved the study protocol and written informed consent
was obtained from all patients.
Patients were asked to specify their daily activity based on a 100 mm
Visual Analogue Scale (VAS) according to which patients were then divided
into two groups active (activity score ≥50; n = 31) and inactive (activity
score <50; n = 43). The following variables were recorded: age, gender,
obesity, systolic and diastolic blood pressure, Triglycerides (TG), total
cholesterol (Chol), Low-Density Lipoproteins (LDL) and High-Density Lipoproteins
(HDL). Blood pressure was measured from right arm by a single technician.
Obesity was assessed using BMI, derived from the Quetelet`s formula.
Statistical analysis was performed using SPSS (SPSS, Chicago, IL, USA;
version 15). Data are presented as Mean±SD for quantitative variables
and as frequency (%) otherwise. The chi-squared test and the Student`s
t-test were used for comparing categorical and continuous variables, respectively,
between the groups. The correlation between continuous variables was determined
using the Pearson`s correlation coefficient. Throughout analysis, p<0.05
was considered statistically significant.
RESULTS AND DISCUSSION
Seventy four patients (39 males) aged 70.4±4.2 years and with
a mean BMI of 28.63±3.9 were studied. Thirty (40.5%) patients were
classified as active. BMI was higher in the inactive group though not
significantly (p = 0.095). Blood pressure (both systolic and diastolic)
was not significantly different between the groups (p = 0.658 and 0.677,
respectively). Total cholesterol tended to be higher in the inactive group,
but the difference did not reach statistical significance (p =0.154).
However, TG (p = 0.021) and LDL (p = 0.006) were significantly higher
and HDL was significantly lower (p = 0.028) in the inactive group (Table
1).
Table 1: |
The difference between the demographic and laboratory
data of the patients enrolled in the 2 groups of this study |
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Increased physical activity and fitness are clearly associated with
reductions in the risk of cardiovascular disease (Leon et al.,
1987). However, exercise has been shown by some studies to have little
effect on total cholesterol or LDL concentrations and only a minimal and
inconsistent beneficial effect on HDL concentrations
(Leon and Sanchez, 2001; Durstine and Haskell, 1994; Kraus et al.,
2002). Furthermore, the situation in the elderly has not been sufficiently
studied. In the present study, we focused on individuals aged 65 years
and older. Consistent with earlier results, total cholesterol levels were
not significantly different between physically active and less active
groups (Polychronopoulos et al., 2005; Leon and Sanchez, 2001;
Durstine and Haskell, 1994). HDL levels were significantly higher in the
active group in present study (p = 0.028). The same result was obtained
in a prospective randomized study (Kraus et al., 2002). Participants
were under the age of 65 in the latter study.
Interestingly, there are race differences in response of plasma lipids
to exercise training (Bergeron et al., 2001) and this points to
the importance of conducting studies in different ethnicities. A 10-week
biweekly fitness training program along with multidisciplinary nutrition
education resulted in significant decreases total cholesterol and LDL-C
in the black elderly (Doshi et al., 1994). Present study was the
first attempt in this direction in Iran. However, because it was a cross-sectional
study with a relatively small sample size, we should wait for future studies
to confirm present results. Although race influences the plasma lipid
response to physical exercise, age does not seem to have the same effect.
Indeed, in a prospective study, an aerobic training program induced an
antiatherogenic lipoprotein profile and beneficial modifications in body
composition and aerobic power in both older and younger subjects; a 2-month
interruption in the program changed these parameters unfavorably in both
groups (Giada et al., 1995). This result further emphasizes the
usefulness of physical activity in the elderly.
It should be noted that not all types of exercise lead to improvements
in lipid profile in the elderly (Kraus et al., 2002). Strength
training is the use of resistance to muscular contraction to build the
strength, anaerobic endurance and size of skeletal muscles. It is considered
a promising intervention for reversing the loss of muscle function and
the deterioration of muscle structure that is associated with advanced
age. This reversal is thought to result in improvements in functional
abilities and health status in the elderly by increasing muscle mass,
strength and power and by increasing bone mineral density (Hurley and
Roth, 2000). However, contrary to popular belief, strength training does
not improve lipid profile
(Hurley and Roth, 2000; Kokkinos et al., 1991; Kokkinos and Hurley,
1990; Hurley, 1989). In a study on 11 healthy men and women in their sixties
the effects of a 12-month endurance-training program depended on the intensity
of the training. Plasma lipid and lipoprotein concentrations were unchanged
after low-intensity training, but high-intensity training resulted in
an increase in high-density lipoprotein cholesterol and a reduction in
triglycerides (Seals et al., 1984).
There are a number of limitations with present study. First, prospective
studies are needed to be carried out before present results can be applied
in clinical practice. Second, the sample size used in present study was
small. Finally, we assessed physical activity by the VAS method only.
VAS provides a subjective, rather than objective, measure of the clinical
phenomenon and is thus subject to higher error rates and lower sensitivities
(McCormack et al., 1988; Wewers and Lowe, 1990). However, it is
instructive that even subjectively judged poor physical activity is associated
with dyslipidemia in the elderly. It remains to be seen whether VAS can
be used as a rapid screening tool for the presence of dyslipidemia in
the elderly.
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